🎯 LinkedIn B2B Buying Signal Detector

Slug: linkedin-buying-signal-detector
Category: Sales Intelligence / Lead Generation
Powered by: Apify + Claude AI

Detect who is ready to buy RIGHT NOW by analyzing LinkedIn job postings, company growth signals, tech stack changes, and hiring patterns — then auto-generate hyper-personalized outreach messages.

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💡 Why This Skill Dominates

Most lead gen tools find who to contact. This skill tells you when to contact them — at the exact moment they have budget, urgency, and intent. No SaaS equivalent under $2,000/month.

Buying signals detected:

• 🚀 Company hiring Sales/Marketing roles → scaling, has budget
• 🔧 Hiring DevOps/Cloud Engineers → infrastructure investment incoming
• 📈 Headcount growth > 20% in 90 days → expansion phase
• 💼 New C-level hire (CMO, CTO, VP Sales) → new budget owner, new priorities
• 📣 Job descriptions mentioning competitor tools → switching signal
• 🏆 Recent funding round mention in job posts → fresh cash to spend

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🛠️ Apify Actors Used

Get your Apify API key here: https://www.apify.com?fpr=dx06p

Actor	ID	Purpose
LinkedIn Jobs Scraper	curious_coder/linkedin-jobs-scraper	Scrape job postings by company/keyword
LinkedIn Company Scraper	anchor/linkedin-company-scraper	Extract headcount, growth, funding info
Google News Scraper	apify/google-news-scraper	Detect funding rounds, press releases
LinkedIn Profile Scraper	dev_fusion/linkedin-profile-scraper	Find decision-makers + contact info

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⚙️ Workflow

INPUT: Target niche + location + ICP criteria
        ↓
STEP 1 — Scrape LinkedIn Jobs (last 30 days)
  └─ Filter by: hiring roles = buying signals
        ↓
STEP 2 — Scrape Company Profiles
  └─ Extract: headcount, growth %, tech stack, funding
        ↓
STEP 3 — Score each company (0–100 intent score)
  └─ Weighted signals → Hot / Warm / Cold
        ↓
STEP 4 — Find Decision Makers
  └─ CEO / VP Sales / CMO / CTO profiles + emails
        ↓
STEP 5 — Claude AI generates personalized outreach
  └─ Email + LinkedIn message referencing the exact signal
        ↓
OUTPUT: Scored lead list + ready-to-send messages (CSV / JSON / Notion / CRM)

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📥 Inputs

{
  "niche": "SaaS companies",
  "location": "France",
  "hiring_signals": ["Sales Manager", "Growth Hacker", "DevOps Engineer"],
  "min_employees": 10,
  "max_employees": 500,
  "days_lookback": 30,
  "max_companies": 50,
  "apify_token": "YOUR_APIFY_TOKEN",
  "output_format": "csv"
}

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📤 Output Example

{
  "companies": [
    {
      "name": "ScaleUp SAS",
      "website": "scaleup.fr",
      "linkedin_url": "linkedin.com/company/scaleup-sas",
      "headcount": 87,
      "growth_90d": "+34%",
      "intent_score": 91,
      "intent_label": "🔥 HOT",
      "signals_detected": [
        "Hiring VP Sales (posted 3 days ago)",
        "Hiring 4 SDRs simultaneously",
        "Job post mentions switching from HubSpot to Salesforce"
      ],
      "decision_makers": [
        {
          "name": "Marie Dupont",
          "title": "CEO",
          "linkedin": "linkedin.com/in/marie-dupont",
          "email": "m.dupont@scaleup.fr"
        }
      ],
      "ai_outreach": {
        "email_subject": "ScaleUp × [Votre outil] — timing parfait ?",
        "email_body": "Bonjour Marie, j'ai remarqué que ScaleUp recrute activement un VP Sales et 4 SDRs en ce moment...",
        "linkedin_message": "Marie, votre croissance de 34% en 90 jours est impressionnante..."
      }
    }
  ],
  "summary": {
    "total_companies_analyzed": 50,
    "hot_leads": 8,
    "warm_leads": 19,
    "cold_leads": 23,
    "run_date": "2025-02-28"
  }
}

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🧠 Claude AI Prompt (Scoring + Outreach)

You are a B2B sales intelligence expert. 

Given this company data:
- Company: {{company_name}}
- Recent job postings: {{job_titles}}
- Headcount growth: {{growth_pct}}% in 90 days
- Signals detected: {{signals}}
- Target decision maker: {{dm_name}}, {{dm_title}}

1. Calculate an intent score from 0-100 based on the signals.
2. Label as: 🔥 HOT (80+), ⚡ WARM (50-79), ❄️ COLD (<50)
3. Write a personalized cold email (subject + 5 lines max) referencing 
   the MOST compelling signal.
4. Write a LinkedIn message (300 chars max) that feels human, not spammy.

Return valid JSON only.

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💰 Cost Estimate (Apify Compute Units)

Volume	Estimated CU	Apify Cost
10 companies	~15 CU	~$0.15
50 companies	~60 CU	~$0.60
200 companies	~220 CU	~$2.20
1,000 companies	~1,000 CU	~$10

💡 Start free: Apify offers $5 free credits/month — enough to test 500 companies.
👉 Create your free Apify account here

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🚀 Setup Instructions

1. Get Your Apify API Token

1. Sign up at https://www.apify.com?fpr=dx06p
2. Go to Settings → Integrations → API Token
3. Copy your token

2. Configure the Skill

Paste your Apify token in the apify_token field when running the skill.

3. Define Your ICP

Specify your Ideal Customer Profile:

• Industry / niche
• Company size range
• Location
• Hiring roles that signal buying intent for YOUR product

4. Run & Export

Results are exported as CSV, JSON, or pushed directly to Notion / Airtable / your CRM.

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🔗 Integrations

Platform	Action
Slack	Alert when 🔥 HOT lead detected
Notion	Auto-populate leads database
Airtable	CRM-ready structured output
HubSpot / Pipedrive	Direct lead import via webhook
Email	Weekly digest of top signals

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📊 Competitive Advantage vs Existing Skills

Feature	B2B Lead Gen (yours)	Google Maps (yours)	This Skill
Finds contact info	✅	✅	✅
Scores buying intent	❌	❌	✅
Detects timing signals	❌	❌	✅
AI-personalized outreach	❌	❌	✅
Tracks competitor mentions	❌	❌	✅
Monitors headcount growth	❌	❌	✅

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⚠️ Limitations & Best Practices

• LinkedIn may rate-limit heavy scraping → recommended max 200 companies/run
• Email accuracy: ~70-80% (cross-reference with Hunter.io for best results)
• Re-run weekly on the same target list to catch new signals
• GDPR: Only use publicly available LinkedIn data, personalize responsibly

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🏷️ Tags

lead-generation sales-intelligence linkedin buying-signals b2b outreach apify intent-data prospecting crm-enrichment

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